TL;DR The V3 HEVC codec matches the previous codec’s quality at 17.6% lower bitrate on a fixed ladder, or delivers 3.9 VMAF points more at the same bitrate. With Per-Title Encoding on both sides, the saving is 15.5% and the gain 3.0 VMAF points. Against a leading public cloud encoder, the gap is larger: 23.3%…
TL;DR Ad revenue can drop for two very different reasons, and one blended revenue number cannot tell them apart. Inventory can go unsold, a supply problem, more of it filled with slate than with a paying ad. Or ads that did sell can fail to finish playing, a completion problem, whether from a technical failure…
Ad servers confirm that an ad was sent. They cannot tell you whether it actually played. For streaming platforms where ad revenue is the model, that blind spot is a direct and silent revenue leak. This post examines why player-native, real-time ad analytics have become an operational necessity across FAST channels, live events, and on-demand content, how the failure modes differ by format, and how Bitmovin’s Ad Observability closes the gap with session-level data available at one-minute intervals across CSAI, SSAI, and SGAI delivery.
Streaming teams rely on observability data to understand how playback performs across devices, platforms, and networks. Error metrics sit at the heart of this, helping engineering teams catch problems that affect startup time, playback stability, and overall viewer experience. But acting on those signals is not always straightforward.
The Bitmovin Blog. Keeping you informed.
